To be precise: regression aware debugging. - Rohan Bavishi; Awanish Pandey; Subhajit Roy 001 (OOPSLA, 2016)

Regression aware debugging for mobile applications. - Rohan Bavishi; Awanish Pandey; Subhajit Roy 001 (Mobile!@SPLASH, 2016)

Context2Name: A Deep Learning-Based Approach to Infer Natural Variable Names from Usage Contexts. - Rohan Bavishi; Michael Pradel; Koushik Sen (CoRR, 2018)

Phoenix: automated data-driven synthesis of repairs for static analysis violations. - Rohan Bavishi; Hiroaki Yoshida; Mukul R. Prasad (ESEC/SIGSOFT FSE, 2019)

AutoPandas: neural-backed generators for program synthesis. - Rohan Bavishi; Caroline Lemieux; Roy Fox; Koushik Sen; Ion Stoica (Proc. ACM Program. Lang., 2019)

Phoenix: a tool for automated data-driven synthesis of repairs for static analysis violations. - Hiroaki Yoshida; Rohan Bavishi; Keisuke Hotta; Yusuke Nemoto; Mukul R. Prasad; Shinji Kikuchi (ICSE (Companion Volume), 2020)

VizSmith: Automated Visualization Synthesis by Mining Data-Science Notebooks. - Rohan Bavishi; Shadaj Laddad; Hiroaki Yoshida; Mukul R. Prasad; Koushik Sen (ASE, 2021)

Gauss: program synthesis by reasoning over graphs. - Rohan Bavishi; Caroline Lemieux; Koushik Sen; Ion Stoica (Proc. ACM Program. Lang., 2021)

Neurosymbolic repair for low-code formula languages. - Rohan Bavishi; Harshit Joshi; José Cambronero; Anna Fariha; Sumit Gulwani; Vu Le 002; Ivan Radicek; Ashish Tiwari 001 (Proc. ACM Program. Lang., 2022)

Tools and Techniques for Building Programming Assistants for Data Analysis - Rohan Bavishi (2022)